Ruizhe Chen

According to our database, Ruizhe Chen authored at least 47 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LETA: Tooth Alignment Prediction Based on Dual-branch Latent Encoding.

Zefeng Shi, Zijie Meng, Ruizhe Chen, Yang Feng, Zeyu Zhao, Jin Hao, Bing Fang, Zuozhu Liu, Youyi Zheng

IEEE Trans. Vis. Comput. Graph., September, 2025

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning.

Ruizhe Chen, Zhiting Fan, Tianze Luo, Heqing Zou, Zhaopeng Feng, Guiyang Xie, Hansheng Zhang, Zhuochen Wang, Zuozhu Liu, Huaijian Zhang

CoRR, July, 2025

CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making.

Songtao Jiang, Yuan Wang, Ruizhe Chen, Yan Zhang, Ruilin Luo, Bohan Lei, Sibo Song, Yang Feng, Jimeng Sun, Jian Wu, Zuozhu Liu

CoRR, June, 2025

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning.

Xiaotian Zhang, Yuan Wang, Zhaopeng Feng, Ruizhe Chen, Zhijie Zhou, Yan Zhang, Hongxia Xu, Jian Wu, Zuozhu Liu

CoRR, June, 2025

Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment.

Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li

IEEE Trans. Artif. Intell., May, 2025

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models.

Xiaoqing Cheng, Ruizhe Chen, Hongying Zan, Yuxiang Jia, Min Peng

CoRR, May, 2025

FRN: Fractal-Based Recursive Spectral Reconstruction Network.

Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding

CoRR, May, 2025

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering.

Yichen Li, Zhiting Fan, Ruizhe Chen, Xiaotang Gai, Luqi Gong, Yan Zhang, Zuozhu Liu

CoRR, April, 2025

An All-Atom Generative Model for Designing Protein Complexes.

Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu

CoRR, April, 2025

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.

Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, Jiayuan Su, Ruizhe Chen, Yan Zhang, Zhe Xu, Yao Hu, Jian Wu, Zuozhu Liu

CoRR, April, 2025

DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models.

Ruizhe Chen, Wenhao Chai, Zhifei Yang, Xiaotian Zhang, Joey Tianyi Zhou, Tony Q. S. Quek, Soujanya Poria, Zuozhu Liu

CoRR, March, 2025

Iterative Value Function Optimization for Guided Decoding.

Zhenhua Liu, Lijun Li, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao

CoRR, March, 2025

Performance Evaluation of Large Language Models in Statistical Programming.

Xinyi Song, Kexin Xie, Lina Lee, Ruizhe Chen, Jared M. Clark, Hao He, Haoran He, Jie Min, Xinlei Zhang, Simin Zheng, Zhiyang Zhang, Xinwei Deng, Yili Hong

CoRR, February, 2025

Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model.

Haobin Cao, Guixiang Zhu, Huanhuan Chen, Zilong Su, Ruizhe Chen, Hongda An, Chen Wang

World Wide Web (WWW), January, 2025

Cross-center Model Adaptive Tooth segmentation.

Ruizhe Chen, Jianfei Yang, Huimin Xiong, Ruiling Xu, Yang Feng, Jian Wu, Zuozhu Liu

Medical Image Anal., 2025

Pretraining graph transformer for molecular representation with fusion of multimodal information.

Ruizhe Chen, Chunyan Li, Longyue Wang, Mingquan Liu, Shugao Chen, Jiahao Yang, Xiangxiang Zeng

Inf. Fusion, 2025

Semantic substructure guided multiple objective molecular generation with discrete diffusion probabilistic model.

Shugao Chen, Bosheng Song, Ruizhe Chen, Lin Liu, Guifei Zhou, Sisi Yuan

Neurocomputing, 2025

Identifying and Mitigating Social Bias Knowledge in Language Models.

Ruizhe Chen, Yichen Li, Jianfei Yang, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs.

Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PAD: Personalized Alignment of LLMs at Decoding-time.

Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment.

Xiaotian Zhang, Ruizhe Chen, Yang Feng, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering.

Yichen Li, Zhiting Fan, Ruizhe Chen, Xiaotang Gai, Luqi Gong, Yan Zhang, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models.

Zhiting Fan, Ruizhe Chen, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models.

Ruizhe Chen, Wenhao Chai, Zhifei Yang, Xiaotian Zhang, Ziyang Wang, Tony Q. S. Quek, Joey Tianyi Zhou, Soujanya Poria, Zuozhu Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Geometric deep learning for drug discovery.

Mingquan Liu, Chunyan Li, Ruizhe Chen, Dongsheng Cao, Xiangxiang Zeng

Expert Syst. Appl., 2024

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment.

Songtao Jiang, Yan Zhang, Ruizhe Chen, Yeying Jin, Zuozhu Liu

CoRR, 2024

PAD: Personalized Alignment at Decoding-Time.

Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu

CoRR, 2024

GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models.

Hanjun Luo, Yingbin Jin, Xuecheng Liu, Tong Shang, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

Editable Fairness: Fine-Grained Bias Mitigation in Language Models.

Ruizhe Chen, Yichen Li, Jianfei Yang, Joey Tianyi Zhou, Zuozhu Liu

CoRR, 2024

VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary.

Hanjun Luo, Ziye Deng, Haoyu Huang, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM.

Hanjun Luo, Haoyu Huang, Ziye Deng, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models.

Hanjun Luo, Ziye Deng, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing.

Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu

CoRR, 2024

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization.

Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-gait Synthesis Based on Convolutional Neural Networks.

Futian Zhu, Xin Chen, Bingbing Ji, Wenhao Yang, Ruizhe Chen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Deep Capsule Network Design Method for Gait Recognition.

Wenhao Yang, Xin Chen, Bingbing Ji, Futian Zhu, Ruizhe Chen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level.

Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs.

Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learnable Privacy Neurons Localization in Language Models.

Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Robustness-Guided Image Synthesis for Data-Free Quantization.

Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fast Model DeBias with Machine Unlearning.

Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Distribution-Agnostic Generalized Category Discovery.

Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Adaptive Tooth Segmentation.

Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu

Proceedings of the Medical Imaging with Deep Learning, 2023

QTSumm: Query-Focused Summarization over Tabular Data.

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications.

Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu, Yueling Zhang, Yang Feng, Zeyu Zhao, Huikai Wu, Youyi Zheng, Bing Fang, Zuozhu Liu, Zhihe Zhao

CoRR, 2022

A Robust Object Segmentation Network for UnderWater Scenes.

Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data.

Hesen Li, Hakan Demirtas, Ruizhe Chen

R J., 2020